Morfessor-enriched features and multilingual training for canonical morphological segmentation

Morfessor-enriched features and multilingual training for canonical morphological segmentation

Year of publication

2022

Authors

Rouhe, Aku; Grönroos, Stig-Arne; Virpioja, Sami; Creutz, Mathias; Kurimo, Mikko

Organizations and authors

University of Helsinki

Creutz Mathias

Virpioja Sami

Grönroos Stig-Arne

Aalto University

Rouhe Aku

Kurimo Mikko Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A4 Article in conference proceedings

Publication channel information

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Computer and information sciences

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

Yes

DOI

10.18653/v1/2022.sigmorphon-1.16

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes

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